# notsodubeyous/IoT-Network-Intrusion-Detection-System-UNSW-NB15

<https://repo.masters-masters.com/en/repos/notsodubeyous/IoT-Network-Intrusion-Detection-System-UNSW-NB15>

[Home](https://repo.masters-masters.com/en) › [notsodubeyous](https://repo.masters-masters.com/en/owners/notsodubeyous) › [IoT-Network-Intrusion-Detection-System-UNSW-NB15](https://repo.masters-masters.com/en/repos/notsodubeyous/IoT-Network-Intrusion-Detection-System-UNSW-NB15)

notsodubeyous/IoT-Network-Intrusion-Detection-System-UNSW-NB15 has 209 stars on GitHub. Its RepoMasters card: Prototype tier. Network Intrusion Detection…

| Field | Value |
| --- | --- |
| Owner | [notsodubeyous](https://repo.masters-masters.com/en/owners/notsodubeyous) |
| Stars | 209 |
| Forks | 48 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2021 |
| Topics | unsw-nb15, machine-learning, deep-learning, network-intrusion-detection, cybersecurity, supervised-learning, network-security, random-forest, svm-classifier, classification |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [notsodubeyous/IoT-Network-Intrusion-Detection-System-UNSW-NB15](https://github.com/notsodubeyous/IoT-Network-Intrusion-Detection-System-UNSW-NB15) |

## Repository

Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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